India-built AI & blockchain engineering since 2017 · Serving clients worldwide

Cloud & Infrastructure

Microservices & Containerization

Microservices and containers can speed up delivery or multiply your operational burden, depending on how they are applied. Speqto helps teams containerize applications with Docker, run them on Kubernetes or simpler platforms, and decide where service boundaries belong, including when a well-structured monolith is the better answer.

  • Prototype in weeksProof before big budgets
  • Weekly demosSee progress, not slides
  • You own the codeFull IP assignment
  • 128+ engineersFive offices, three continents

Should you split the monolith at all?

Microservices solve organisational scaling problems: many teams needing to deploy independently, parts of a system with different load profiles, or components that need different technologies. They also add network calls, distributed data, versioned contracts and a far heavier operational load, so a small team often moves faster with a modular monolith. Wherever possible we write down the decision and the conditions that would make us revisit it, so the architecture can change without a dispute.

We test the decision against evidence: how often teams block each other, where deployments fail, which modules change together and which parts really need independent scaling. Sometimes the answer is to extract two or three services around clear business capabilities and leave the rest alone. Event storming sessions with domain experts often surface hidden rules and handoffs that the code never made explicit, and these shape the first boundaries.

Drawing service boundaries and migrating safely

Boundaries follow business capabilities and data ownership, using domain-driven design workshops and event storming, not technical layers. A service that must call five others to answer a request is badly cut. Each service owns its data, exposes a clear API or events, and avoids shared databases that quietly couple teams together. Each extraction is released behind a switch so traffic can move back to the monolith instantly if the new service misbehaves in production.

Migration uses the strangler fig pattern: route a slice of traffic through an API gateway to a new service while the monolith keeps running, then expand. Hard problems get explicit treatment, such as data consistency with sagas and outbox patterns, idempotent consumers, tracing across services and versioned contracts verified by consumer-driven tests. Developers also get a fast local setup with Docker Compose or similar tooling, since a service architecture that cannot be run on a laptop slows everyone down.

Containers and Kubernetes in practice

Containerization begins with good images: small base images, multi-stage builds, non-root users, pinned versions, vulnerability scanning and reproducible builds. Applications are adjusted to be twelve-factor friendly, with configuration from the environment, logs to stdout, health endpoints and graceful shutdown, because these small habits decide whether orchestration behaves well. Resource limits are tuned from measured usage rather than guesses, which prevents both noisy neighbors and clusters that cost far more than the workload needs.

On Kubernetes we use Helm or Kustomize, resource requests and limits, horizontal autoscaling, network policies, a service mesh only where its benefits justify the complexity, and observability through Prometheus, Grafana and OpenTelemetry. For smaller estates we recommend managed options such as ECS Fargate, Cloud Run or Azure Container Apps. Runbooks, dashboards and ownership are defined per service before launch, so an on-call engineer knows who to call and what healthy looks like.

What we do

What our Microservices & Containerization team delivers

Specific work we do for clients, with the senior people who do it.

  • Architecture assessment

    Review of your current system, team structure and pain points to decide whether to keep a monolith, modularise it or extract services.

  • Domain and boundary design

    Event storming and domain-driven design sessions that identify bounded contexts, data ownership and integration styles before anyone writes service code.

  • Monolith decomposition

    Incremental extraction using the strangler pattern, API gateways and anti-corruption layers, keeping the existing system running while new services take over.

  • Docker containerization

    Production-ready images, multi-stage builds, local development environments with Compose and registry pipelines, hardened and scanned for vulnerabilities and local Compose setups..

  • Kubernetes platform setup

    Cluster design on EKS, AKS or GKE with ingress, autoscaling, secrets, policies, GitOps delivery and cost-aware resource settings.

  • Observability for services

    Distributed tracing, metrics and structured logging across services, with dashboards and alerts built around user-facing latency and error rates.

Why Speqto

A team you can rely on from the first call

The habits that keep projects calm: clear scope, visible progress and engineers who stay accountable.

  • Building since 2017

    Nine years of shipping web, mobile, AI and blockchain products for startups and enterprises.

  • 128+ engineers

    A bench of senior engineers, designers and QA, so one person leaving never stalls your product.

  • Offices on three continents

    Noida HQ with teams in Surat, London, the US and Ho Chi Minh City for overlapping working hours.

  • AI-first workflow

    AI-assisted coding, testing and reviews speed delivery, with a named human accountable for every merge.

  • Weekly demos

    You see working software every week and can redirect early, long before a release surprise.

  • You own everything

    Full IP assignment, repository access from day one and an NDA before we talk details.

How we deliver

A proven process from idea to scale

Transparent, agile delivery with weekly demos and clear milestones, so you always know what is shipping and why.

  1. 01

    Discover

    Workshops to understand goals, users, data and success metrics.

  2. 02

    Plan

    Architecture, roadmap, estimate and a team shaped to your needs.

  3. 03

    Design

    UX flows, prototypes and technical design validated with stakeholders.

  4. 04

    Build

    Agile sprints with weekly demos, code reviews and automated testing.

  5. 05

    Launch

    Secure deployment, monitoring and a smooth go-live.

  6. 06

    Scale

    Ongoing optimization, new features and support as you grow.

Technology

Tools and platforms for Microservices & Containerization

The stack our engineers use on this kind of work every week.

  • Docker
  • Kubernetes
  • Helm
  • KUKustomize
  • Argo CD
  • ISIstio
  • LILinkerd
  • KAKafka
  • RabbitMQ
  • OPOpenTelemetry
  • Prometheus
  • gRPC
Outcomes

What you can expect

Every engagement is tied to measurable business results, not just deliverables.

01

Independent deployments

Teams release their own services without coordinated freezes, provided boundaries and contracts are well chosen and tested.

02

Consistent environments

Containers behave the same on laptops, test clusters and production, removing a large class of it-works-on-my-machine problems.

03

Complexity you chose deliberately

You adopt only as many services and platform features as your team can operate, and know the trade-offs you accepted.

FAQ

Microservices & Containerization FAQs

Straight answers on cost, timelines, IP ownership, team setup and how we work. Cannot find yours? Ask a solutions architect directly.

When are microservices a bad idea?

They are a poor fit for small teams, early-stage products with unclear domains, and systems without strong automation or monitoring. The coordination and operations cost can outweigh benefits. A modular monolith is often better until team scale demands separation.

What is the difference between Docker and Kubernetes?

Docker packages an application and its dependencies into a container image and runs containers. Kubernetes orchestrates many containers across machines, handling scheduling, scaling, networking and self-healing. You can use Docker without Kubernetes. The two are often used together in practice.

How do you migrate from a monolith to microservices safely?

Incrementally, using the strangler fig pattern: place a gateway in front, extract one capability at a time, move its data carefully and keep the monolith running. Each step is reversible and tested before the next begins. Stateful parts need the most care.

Do we need a service mesh?

Usually not at first. A mesh such as Istio or Linkerd adds mutual TLS, traffic policies and telemetry, but also complexity. Consider one when you have many services, strict security needs or advanced traffic management requirements.

Client reviews

Rated 5.0/5 by clients on Clutch

Independent, verified reviews from founders and technology leaders we have worked with. Read them in full on each platform.

“What I found most impressive about Speqto Technologies was their profound technical depth.”

Andrea Daminelli Founder & Co-CEO, Daze Milan, Italy · Blockchain development for an EV charging company
Verified review on Clutch

“The project management throughout this complex undertaking was exceptionally proactive and structured.”

Rostyslav Burylo CEO, Lynksen Lisbon, Portugal · Blockchain development
Verified review on Clutch

“Their ability to translate complex cryptographic concepts into actionable, business-aligned strategies set them apart.”

Oleksandr Sendulskyi Senior Marketing Manager, BINTIME IT Company Ukraine · Blockchain development services
Verified review on Clutch

See all reviews

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